Recent Advances in Predictive Modeling with Electronic Health Records

The development of electronic health records (EHR) systems has enabled the collection of a vast amount of digitized patient data. However, utilizing EHR data for predictive modeling presents several challenges due to its unique characteristics. With the advancements in machine learning techniques, deep learning has demonstrated its superiority in various applications, including healthcare. This survey systematically reviews recent advances in deep learning-based predictive models using EHR data. Specifically, we begin by introducing the background of EHR data and providing a …

advances applications challenges collection cs.ai cs.lg data deep learning development ehr electronic electronic health records health machine machine learning machine learning techniques modeling patient predictive predictive modeling records systems vast